Machine Learning in the Detection of the Glaucomatous Disc and Visual Field

Citation:

Smits DJ, Elze T, Wang H, Pasquale LR. Machine Learning in the Detection of the Glaucomatous Disc and Visual Field. Semin Ophthalmol 2019;:1-11.

Date Published:

2019 May 27

Abstract:

Glaucoma is the leading cause of irreversible blindness worldwide. Early detection is of utmost importance as there is abundant evidence that early treatment prevents disease progression, preserves vision, and improves patients' long-term quality of life. The structure and function thresholds that alert to the diagnosis of glaucoma can be obtained entirely via digital means, and as such, screening is well suited to benefit from artificial intelligence and specifically machine learning. This paper reviews the concepts and current literature on the use of machine learning for detection of the glaucomatous disc and visual field.

See also: Glaucoma, May 2019, All, 2019
Last updated on 06/04/2019